A new study combines Large Language Models and behavioral mathematics to analyze human decision-making text data at scale.
NVIDIA diffusion language model Nemotron TwoTower achieves 2.42x LLM inference throughput without a full retraining run, ...
Present-day LLMs, such as ChatGPT and Claude, can perform complex tasks, such as writing poetry and solving difficult algebra ...
Recent speech-aware large language models (Speech-LLMs) rely on a pre-trained speech encoder to convert audio into semantic-rich representations consumable by LLM. In this work, instead, we explore: ...
XDA Developers on MSN
I tested Google's new Gemma 4 12B on my 8GB GPU, and now I don't want to go back to smaller models
Not bad for limited hardware ...
Granulon enhances pixel-level visual encoders (represented by DINOv3)—which excel at details but lack coarse-grained semantic abstraction—with a "text-conditioned granularity controller + adaptive ...
Training-free KV-cache routing and sparse attention for long-context decode on frozen pretrained LLMs: a from-scratch Triton sparse-decode kernel, a Blackwell wall-clock replication of ClusterKV-style ...
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